Touch-Interfacing Middleware Network Design in 6G

The touch-enabled interface with the existing system attempts to improve its robustness by enabling it to interact with its environment in real-time. The conventional techniques do not effectively address concerns of virtualized interaction in the real world, like ultra-low latency, high dependability, and network security in the system. Meanwhile, a smart touch-based system demands less effort from the user while yet offering real-time interaction with the environment, increasing the system's intelligence. As a result, a middleware system, i.e. a type of interface between the suggested touch technology transmission and receiving endpoints, is required. Accordingly, the main objective of this paper is to offer a middleware network design that can interact with both the transmitting and receiving ends and so aid in the establishment of a touch-technology interfacing network in 6G. This, in turn, may need the incorporation of intelligence techniques like reinforcement learning and Q-learning into our approach.